Why does this OpenCV threshold call return a blank image?

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I am following this tutorial on OpenCV, where the tutorial uses the following code:

import argparse
import imutils
import cv2

ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True, help="path to input image")
args = vars(ap.parse_args())

image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

thresh = cv2.threshold(gray, 255, 255, cv2.THRESH_BINARY_INV)[1]
cv2.imshow("Thresh", thresh)
cv2.waitKey()

Yet the image thresh displays as a blank window with a light grey background, where the tutorial is supposed to shoe a monochrome profile of an image that came with the tutorial source code.

I'm using the same code, and the same input image, yet the tutorial tells me to expect a monochrome image showing object outlines, while I only get a blank, grey image. What could be wrong here?

opencv3.0 opencv python-3.x graphics python
1 Answers

Your thresh parameter value should be different than maxval value.

thresh = cv2.threshold(src=gray,
                       thresh=127,
                       maxval=255,
                       type=cv2.THRESH_BINARY_INV)[1]

From the documentation

  • gray is your source image.
  • thresh is the threshold value
  • maxval is maximum value
  • typeis thresholding type

When you set both thresh and maxval the same value, you are saying:

I want to display my pixels above 255 values, but none of the pixels should exceed 255.

Therefore the result is a blank image.

One possible way is setting thresh to 127.

For instance:

      Original Image                                                     Thresholded Image

enter image description here enter image description here

import cv2

image = cv2.imread("fgtc7_256_256.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(src=gray,
                       thresh=127,
                       maxval=255,
                       type=cv2.THRESH_BINARY_INV)[1]
cv2.imshow("Thresh", thresh)
cv2.waitKey(0)
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